Kling MCP

Name: Kling MCP Review
Item: Kling MCP
Rating: 2.2
Author: Aaron Matthews

Connector Productivity Poor

Works inClaude Code Claude Cowork Claude Chat

Poor Scanned — metadata only

Enables teams to generate multimedia assets (video, image, audio) within Claude workflows without context-switching, reducing production cycles for content-h…

MCP server that lets Claude generate AI videos, images, and audio directly using Kling AI APIs from within conversations.

Generate product demo videos directly in Claude conversations without switching tools.
Create marketing images and audio narration for presentation slides in one workflow.
Produce training video content with synchronized visuals and voiceovers from text prompts.

39 starsMIT (commercial OK)Free

Below standard — Significant caveats apply. Not recommended without careful review of the security and evaluation sections.

Why it matters

Enables teams to generate multimedia assets (video, image, audio) within Claude workflows without context-switching, reducing production cycles for content-heavy projects and freeing creative resources.

Best for

Product and marketing teams needing rapid prototyping of video demos, social content, or promotional materials within existing Claude workflows.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/199-mcp/mcp-kling

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.

First thing to try

Once it’s connected, paste this into Claude:

Help me generate product demo videos directly in Claude conversations without switching tools

Trust Signals Auto-scanned

Stars39Contributors1Last updated2025-06-14LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-25 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 39 GitHub stars; 1 contributors; last commit 406d ago; license MIT.

Things to check

Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
Single maintainer. Consider the risk if this person stops maintaining the project.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

3/5

Versatility

2/5

Reliability

1/5

Security

3/5

Overall score2.25 / 5.00 PoorEvaluatedJul 2026

Scored from trust signals (evidence-eval-v1): 39 GitHub stars; 1 contributors; last commit 406d ago; license MIT.

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